Shishegaran et al. (Citation 2021) proposed a novel hybrid model based on High Correlated Variables Creator Machine (HCVCM) for predicting the compressive …

Ultra-high-performance concrete (UHPC), with the highest resistance capacity against axial loads, is composed of various ingredients compared to other typical concretes, including fly ash and silica fume; eco-friendly materials also have an economical price. Such high-resistant constructional materials are seen as a suitable aggregate to …

The study described in the paper focuses on the compressive strength of concrete columns that are reinforced with carbon fiber reinforced polymer (CFRP). The researchers aimed to identify the main parameters that affect the compressive strength of these confined columns. They used models to analyze and study the relationship …

The compressive strength of concrete is given in terms of the characteristic compressive strength of 150 mm size cubes tested at 28 days (f ck )- as per Indian Standards (ACI standards use cylinder of diameter 150 mm and height 300 mm). The characteristic strength is defined as the strength of the concrete below which not more …

The results shown that the two parameters, comprising compressive strength of concrete core and diameter and thickness of tube ratio were found to be …

The prediction of compressive strength in concrete holds essential significance within the construction industry, maintaining the structural reliability of important infrastructure like buildings. In the present study, a thorough investigation has been conducted to evaluate the effectiveness of using various fly ash and admixtures as input …

The compressive strength (CS) of SCC is a crucial mechanical parameter for both design and application purposes on construction sites as well as in ready-mixed concrete plants [].Other …

The cube will be preserved and curated well for almost 28 days to be tested by the Compression Testing Machine. Compressive Strength of Concrete Test. Apparatus Required. Steel Mould (150mm x 150mm x 150mm) Tamping rod ... But it requires a higher capacity CTM machine to calculate the values such as 300 tonnes, which does not …

4.3. Sensitivity Analysis of the Compressive Strength of Concrete at High Temperatures. Sensitivity analysis was conducted in order to check the parameters that have a significant effect on the prediction of the compressive strength of concrete at high temperatures, as shown in Figure 5. Every variable used to run the model plays its role in ...

The compressive strength of concrete plays an important role in determining the. durability and performance of concrete. Due to rapid growth in material. engineering finalizing an appropriate ...

The objective of this work is to determine the compressive strength of geopolymer concrete utilizing four distinct machine learning approaches. These techniques are known as gradient boosting machine (GBM), generalized linear model (GLM), extremely randomized trees (XRT), and deep learning (DL). Experimentation is performed to …

Self-compacting concrete (SCC) has transformed civil engineering by efficiently filling formwork without mechanical consolidation, enhancing construction efficiency, and durability, and reducing labor needs. Accurate prediction of compressive strength (CS), a crucial mechanical property, is essential for optimal results. The …

In this study, the aim is to investigate and predict the compressive strength of geopolymer concrete (GPC). The effects of curing method, curing time and concrete age on the compressive strength of GPC were evaluated experimentally. Four curing methods, namely room temperature (25°C), mobile dryer (50°C), heating cabinet type 1 …

Compressive strength is a critical parameter in evaluating the mechanical performance of concrete, serving as a metric of its ability to withstand loads and stresses. Governed by standard C 39/C 39M, compressive strength tests are instrumental in assessing concrete's suitability for various construction applications. Test Methodology.

In the past five years, as summarized in Table 1, several research efforts have aimed to model the CS of geopolymer mortars and concrete using ML techniques.The best-developed ML models are bolded in this table. Researchers have primarily focused on investigating the utilization of fly ash and slag cement in geopolymers due to their …

Accurate bearing capacity assessment under load conditions is essential for the design of concrete-filled steel tube (CFST) columns. This paper presents an optimization-based machine learning ...

To fill the research gap, this paper uses the GBRT algorithm, an ensemble learning method based on lifting, to predict the compressive strength of concrete materials. 1030 sets of concrete compressive test data were collected while …

The relevant parameters were as follows: the dilation angle (Ψ), flow potential eccentricity (e), the ratio of the biaxial compression strength to the uniaxial compression strength (f b0 /f c0), the second stress invariant ratio of the tensile meridian to the compressive meridian (K c) and the viscosity coefficient (μ) were set as 35°, 0.1 ...

In the present study, the compressive strength of binary and ternary blended high-performance concrete mixtures was modeled using different machine learning tools, such as artificial neural network (ANN), gradient tree boosting (GTB), and multivariate adaptive regression splines (MARS). The compressive strength of binary …

Ultra-high performance concrete (UHPC) benefits the construction industry due to its improved flexibility, high workability, durability, and performance compared to normal concrete. Some investigators have conducted observed papers on the UHPC's mechanical properties for establishing a reliable analytical approach for calculating the …

The concrete compressive strength f c and the modulus of elasticity E c were tested according to the Australian Standards AS 1012.9 (1999) and AS 1012.17 (1997), respectively, using a servo-hydraulic testing machine with a range of 3000 kN. In order to obtain more accurate experimental data, the concrete compressive strength and …

A critical aspect of cement hydration is the formation of calcium-silicate-hydrate (C-S-H) gel, which contributes significantly to the development of concrete strength [11]. Also, the denser microstructure resulting from decreased porosity improves the durability and load-bearing capacity of the concrete.

Estimating Compressive Strength of Concrete Containing Rice Husk Ash Using Interpretable Machine Learning-based Models @article{Alyami2024EstimatingCS, title={Estimating Compressive Strength of Concrete Containing Rice Husk Ash Using Interpretable Machine Learning-based Models}, author={Mana Alyami and Roz Ud Din …

Compressive Strength Test of Concrete. The compressive strength test of concrete is an essential procedure that helps engineers and construction professionals evaluate the strength and durability of concrete structures. The test is commonly done on concrete cubes, using a compressive testing machine to determine the maximum compression …

While traditional concrete normally has a compressive strength ranging anywhere from 2,500 to 5,000 psi, UHPC can have a compressive strength of up to 10 times that of traditional concrete. After just 14 days of curing, UHPC has a compressive strength of 20,000 psi. This number increases to 30,000 psi when fully cured for 28 days.

The curing process and compressive strength testing procedure for CAC specimens were conducted in accordance with the relevant provisions specified in the standard [47]. Since the dimensions of the specimens are non-standard, the calculated compressive strength values should be multiplied by a dimension conversion factor of …

Abstract. In Civil Engineering field, the compressive strength of concrete is a key parameter to design concrete structures and evaluate existing structures. Conventionally the measurement of the strength requires a considerable amount of time (∼28 days) and cost. Thus, this paper comprehensively reviews the literature on …

The study to predict concrete compressive strength using fifteen machine learning models is based on a dataset consisting of material quantities in kg per meter …

Concrete is the most commonly used construction material. The physical properties of concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre-reinforced concrete, …

The current study uses gradient boosting (GBM) and light gradient boosting (LGBM) supervised machine learning (ML) approaches in the Python platform …